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"""Compatibility layer for different database engines
This modules stores logic specific to different database engines. Things
like time-related functions that are similar but not identical, or
information as to expose certain features or not and how to expose them.
For instance, Hive/Presto supports partitions and have a specific API to
list partitions. Other databases like Vertica also support partitions but
have different API to get to them. Other databases don't support partitions
at all. The classes here will use a common interface to specify all this.
The general idea is to use static classes and an inheritance scheme.
"""
import inspect
import logging
import pkgutil
from collections import defaultdict
from importlib import import_module
from pathlib import Path
from typing import Any, Dict, List, Set, Type
import sqlalchemy.databases
import sqlalchemy.dialects
from pkg_resources import iter_entry_points
from sqlalchemy.engine.default import DefaultDialect
from superset.db_engine_specs.base import BaseEngineSpec
logger = logging.getLogger(__name__)
def is_engine_spec(attr: Any) -> bool:
return (
inspect.isclass(attr)
and issubclass(attr, BaseEngineSpec)
and attr != BaseEngineSpec
)
def get_engine_specs() -> Dict[str, Type[BaseEngineSpec]]:
engine_specs: List[Type[BaseEngineSpec]] = []
# load standard engines
db_engine_spec_dir = str(Path(__file__).parent)
for module_info in pkgutil.iter_modules([db_engine_spec_dir], prefix="."):
module = import_module(module_info.name, package=__name__)
engine_specs.extend(
getattr(module, attr)
for attr in module.__dict__
if is_engine_spec(getattr(module, attr))
)
# load additional engines from external modules
for ep in iter_entry_points("superset.db_engine_specs"):
try:
engine_spec = ep.load()
except Exception: # pylint: disable=broad-except
logger.warning("Unable to load Superset DB engine spec: %s", engine_spec)
continue
engine_specs.append(engine_spec)
# build map from name/alias -> spec
engine_specs_map: Dict[str, Type[BaseEngineSpec]] = {}
for engine_spec in engine_specs:
names = [engine_spec.engine]
if engine_spec.engine_aliases:
names.extend(engine_spec.engine_aliases)
for name in names:
engine_specs_map[name] = engine_spec
return engine_specs_map
def get_available_engine_specs() -> Dict[Type[BaseEngineSpec], Set[str]]:
"""
Return available engine specs and installed drivers for them.
"""
drivers: Dict[str, Set[str]] = defaultdict(set)
# native SQLAlchemy dialects
for attr in sqlalchemy.databases.__all__:
dialect = getattr(sqlalchemy.dialects, attr)
for attribute in dialect.__dict__.values():
if (
hasattr(attribute, "dialect")
and inspect.isclass(attribute.dialect)
and issubclass(attribute.dialect, DefaultDialect)
):
try:
attribute.dialect.dbapi()
except ModuleNotFoundError:
continue
except Exception as ex: # pylint: disable=broad-except
logger.warning(
"Unable to load dialect %s: %s", attribute.dialect, ex
)
continue
drivers[attr].add(attribute.dialect.driver)
# installed 3rd-party dialects
for ep in iter_entry_points("sqlalchemy.dialects"):
try:
dialect = ep.load()
except Exception: # pylint: disable=broad-except
logger.warning("Unable to load SQLAlchemy dialect: %s", dialect)
else:
drivers[dialect.name].add(getattr(dialect, "driver", dialect.name))
engine_specs = get_engine_specs()
return {
engine_specs[backend]: drivers
for backend, drivers in drivers.items()
if backend in engine_specs
}